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Battery Algorithm ML Engineer

Apple

San Diego, CAJobSeen 2w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
No compensation found
Location
San Diego, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Master's degree

Job overview

Apple’s BMS team develops battery management technologies for its products. The Battery Algorithm ML Engineer designs and develops battery and power management algorithms and software, defines software architecture, and writes modules to implement battery algorithms. The role works with algorithm, software, and systems engineers. The ideal candidate has experience developing and commercializing battery management solutions for consumer, industrial, telecom, or automotive products.

Skills & qualifications

RequiredNice to have

Skills

Machine Learning AlgorithmsDeep LearningPythonC++Software Requirements DefinitionSoftware Development ProcessMachine Learning Inference PipelinesInference InfrastructureAI Coding ToolsAgentic AI ApplicationsML Feature DevelopmentBattery Management Solutions

Qualifications

MS in CS, EE, ME or RelatedPhD3+ Years Relevant Industry Experience

Full job description

Role Number: 200689563-3543

Summary

Are you interested to work on the forefront of Battery Management Systems? In this role you will develop future BMS technologies with a hardworking team of engineers in a highly reciprocal and multi-functional environment. The ideal individual will be proficient in this field, who has experience developing and commercializing robust battery management solutions for consumer, industrial, telecom or automotive products. Be a part of a team developing new class of battery systems involving algorithms, architectures and products as we improve the utility of batteries.

Description

The BMS team is looking for battery algorithm software engineer to design and develop advanced battery and power management algorithms and software for various Apple products. Working with a cross-function team including algorithms, software, and system engineers, you will be required to define SW architecture and write SW modules to implement innovative battery algorithms.

Minimum Qualifications

  • MS degree in Computer Science, Electrical Engineering, Mechanical Engineering, or related field.

  • Experience in machine learning algorithms and deep learning applications.

  • Experience programming in Python or C++.

Preferred Qualifications

  • PhD and 3+ years relevant industry experience.

  • Experience with SW requirement definition and SW development process.

  • Experience in the design and architecture of machine learning inference pipelines and underlying infrastructure.

  • Experience in using AI coding tools and creating agentic AI applications.

  • Experience in innovative and creative ML feature development in battery or consumer electronic domain.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.

How this job compares

Set against the 6,346 open Machine Learning Engineer jobs on Olive Jobs, counted October 31, 2026.

Pay
  • This postingNot listed
  • California median$175–260K/yr1,395 salary ranges
  • California median$50–78/hr34 hourly ranges
Openings
Olive Jobs lists 1,876 open Machine Learning Engineer jobs in California and 6,346 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
Machine Learning Engineer postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 7 years (5,143 postings).
Education
This posting asks for a master's degree; 558 of the 6,346 open Machine Learning Engineer jobs (9%) ask for a master's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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